Articles | Volume 10, issue 4
https://doi.org/10.5194/amt-10-1425-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-1425-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Apr 2017
Research article |
| 13 Apr 2017
Cross-calibration of S-NPP VIIRS moderate-resolution reflective solar bands against MODIS Aqua over dark water scenes
Goddard Earth Sciences Technology And Research (GESTAR), Universities Space Research Association (USRA), Columbia, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
N. Christina Hsu
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Corey Bettenhausen
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Adnet Systems, Inc, Bethesda, MD, USA
Robert E. Holz
Space Science and Engineering Center, University of Wisconsin, Madison, WI, USA
Jaehwa Lee
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Earth Systems Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, MD, USA
Greg Quinn
Space Science and Engineering Center, University of Wisconsin, Madison, WI, USA
Paolo Veglio
Space Science and Engineering Center, University of Wisconsin, Madison, WI, USA
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Cited
29 citations as recorded by crossref.
- Feasibility of cross-calibrating ocean-color sensors in polar orbit using an intermediary geostationary sensor of reference J. Tan et al. 10.3389/frsen.2023.1072930
- An Assessment of SNPP and NOAA20 VIIRS RSB Calibration Performance in NASA SIPS Reprocessed Collection-2 L1B Data Products A. Wu et al. 10.3390/rs14174134
- Using Triple Collocation Observations to Estimate Satellite Measurement Noise J. Chen et al. 10.1109/TGRS.2021.3060781
- Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S‐NPP VIIRS as Part of the “Deep Blue” Aerosol Project A. Sayer et al. 10.1002/2017JD027412
- The SMARTS spectral irradiance model after 25 years: New developments and validation of reference spectra C. Gueymard 10.1016/j.solener.2019.05.048
- Cross-calibration of MODIS and VIIRS long near infrared bands for ocean color science and applications B. Barnes et al. 10.1016/j.rse.2021.112439
- Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. 10.1029/2018JD029465
- A geometry-dependent surface Lambertian-equivalent reflectivity product for UV–Vis retrievals – Part 2: Evaluation over open ocean Z. Fasnacht et al. 10.5194/amt-12-6749-2019
- An approach to cross-calibrating multi-mission satellite data for the open ocean J. Chen et al. 10.1016/j.rse.2020.111895
- Towards long-term, high-accuracy, and continuous satellite total and fine-mode aerosol records: Enhanced Land General Aerosol (e-LaGA) retrieval algorithm for VIIRS L. Wang et al. 10.1016/j.isprsjprs.2024.06.022
- Monitoring multiple satellite aerosol optical depth (AOD) products within the Copernicus Atmosphere Monitoring Service (CAMS) data assimilation system S. Garrigues et al. 10.5194/acp-22-14657-2022
- Applying the Dark Target Aerosol Algorithm to MERSI-II: Retrieval and Validation of Aerosol Optical Depth over the Ocean X. Pei et al. 10.1007/s00376-024-4032-y
- How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies A. Sayer 10.1029/2020EA001290
- Mission-Long Recalibrated Science Quality Suomi NPP VIIRS Radiometric Dataset Using Advanced Algorithms for Time Series Studies C. Cao et al. 10.3390/rs13061075
- Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data A. Sayer et al. 10.5194/amt-12-3595-2019
- The Earth‐Observing Aqua Satellite Mission: 20 Years and Counting C. Parkinson 10.1029/2022EA002481
- Vicarious Calibration of the Long Near Infrared Band: Cross-Sensor Differences in Sensitivity B. Barnes et al. 10.1109/TGRS.2022.3185932
- Continuing the MODIS Dark Target Aerosol Time Series with VIIRS V. Sawyer et al. 10.3390/rs12020308
- Radiometric Calibration Scheme for COCTS/HY-1C Based on Image Simulation From the Standard Remote-Sensing Reflectance Z. Mao et al. 10.1109/TGRS.2021.3079634
- AERONET‐Based Nonspherical Dust Optical Models and Effects on the VIIRS Deep Blue/SOAR Over Water Aerosol Product J. Lee et al. 10.1002/2017JD027258
- Calibration of the SNPP and NOAA 20 VIIRS sensors for continuity of the MODIS climate data records A. Lyapustin et al. 10.1016/j.rse.2023.113717
- Validation, Stability, and Consistency of MODIS Collection 6.1 and VIIRS Version 1 Deep Blue Aerosol Data Over Land A. Sayer et al. 10.1029/2018JD029598
- Evaluation of radiometric performance of MODIS visible bands using the Rayleigh scattering method S. Zhu et al. 10.1117/1.JRS.13.018503
- Derivation of Shortwave Radiometric Adjustments for SNPP and NOAA-20 VIIRS for the NASA MODIS-VIIRS Continuity Cloud Products K. Meyer et al. 10.3390/rs12244096
- Determining pseudo-invariant calibration sites for comparing inter-mission ocean color data J. Chen et al. 10.1016/j.isprsjprs.2022.08.004
- Towards a European Cal/Val service for earth observation S. Sterckx et al. 10.1080/01431161.2020.1718240
- The Atmospheric Correction of COCTS on the HY-1C and HY-1D Satellites Z. Mao et al. 10.3390/rs14246372
- Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season Z. Lu et al. 10.3389/frsen.2021.766628
- Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements A. Sayer et al. 10.1002/2017JD026934
28 citations as recorded by crossref.
- Feasibility of cross-calibrating ocean-color sensors in polar orbit using an intermediary geostationary sensor of reference J. Tan et al. 10.3389/frsen.2023.1072930
- An Assessment of SNPP and NOAA20 VIIRS RSB Calibration Performance in NASA SIPS Reprocessed Collection-2 L1B Data Products A. Wu et al. 10.3390/rs14174134
- Using Triple Collocation Observations to Estimate Satellite Measurement Noise J. Chen et al. 10.1109/TGRS.2021.3060781
- Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S‐NPP VIIRS as Part of the “Deep Blue” Aerosol Project A. Sayer et al. 10.1002/2017JD027412
- The SMARTS spectral irradiance model after 25 years: New developments and validation of reference spectra C. Gueymard 10.1016/j.solener.2019.05.048
- Cross-calibration of MODIS and VIIRS long near infrared bands for ocean color science and applications B. Barnes et al. 10.1016/j.rse.2021.112439
- Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. 10.1029/2018JD029465
- A geometry-dependent surface Lambertian-equivalent reflectivity product for UV–Vis retrievals – Part 2: Evaluation over open ocean Z. Fasnacht et al. 10.5194/amt-12-6749-2019
- An approach to cross-calibrating multi-mission satellite data for the open ocean J. Chen et al. 10.1016/j.rse.2020.111895
- Towards long-term, high-accuracy, and continuous satellite total and fine-mode aerosol records: Enhanced Land General Aerosol (e-LaGA) retrieval algorithm for VIIRS L. Wang et al. 10.1016/j.isprsjprs.2024.06.022
- Monitoring multiple satellite aerosol optical depth (AOD) products within the Copernicus Atmosphere Monitoring Service (CAMS) data assimilation system S. Garrigues et al. 10.5194/acp-22-14657-2022
- Applying the Dark Target Aerosol Algorithm to MERSI-II: Retrieval and Validation of Aerosol Optical Depth over the Ocean X. Pei et al. 10.1007/s00376-024-4032-y
- How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies A. Sayer 10.1029/2020EA001290
- Mission-Long Recalibrated Science Quality Suomi NPP VIIRS Radiometric Dataset Using Advanced Algorithms for Time Series Studies C. Cao et al. 10.3390/rs13061075
- Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data A. Sayer et al. 10.5194/amt-12-3595-2019
- The Earth‐Observing Aqua Satellite Mission: 20 Years and Counting C. Parkinson 10.1029/2022EA002481
- Vicarious Calibration of the Long Near Infrared Band: Cross-Sensor Differences in Sensitivity B. Barnes et al. 10.1109/TGRS.2022.3185932
- Continuing the MODIS Dark Target Aerosol Time Series with VIIRS V. Sawyer et al. 10.3390/rs12020308
- Radiometric Calibration Scheme for COCTS/HY-1C Based on Image Simulation From the Standard Remote-Sensing Reflectance Z. Mao et al. 10.1109/TGRS.2021.3079634
- AERONET‐Based Nonspherical Dust Optical Models and Effects on the VIIRS Deep Blue/SOAR Over Water Aerosol Product J. Lee et al. 10.1002/2017JD027258
- Calibration of the SNPP and NOAA 20 VIIRS sensors for continuity of the MODIS climate data records A. Lyapustin et al. 10.1016/j.rse.2023.113717
- Validation, Stability, and Consistency of MODIS Collection 6.1 and VIIRS Version 1 Deep Blue Aerosol Data Over Land A. Sayer et al. 10.1029/2018JD029598
- Evaluation of radiometric performance of MODIS visible bands using the Rayleigh scattering method S. Zhu et al. 10.1117/1.JRS.13.018503
- Derivation of Shortwave Radiometric Adjustments for SNPP and NOAA-20 VIIRS for the NASA MODIS-VIIRS Continuity Cloud Products K. Meyer et al. 10.3390/rs12244096
- Determining pseudo-invariant calibration sites for comparing inter-mission ocean color data J. Chen et al. 10.1016/j.isprsjprs.2022.08.004
- Towards a European Cal/Val service for earth observation S. Sterckx et al. 10.1080/01431161.2020.1718240
- The Atmospheric Correction of COCTS on the HY-1C and HY-1D Satellites Z. Mao et al. 10.3390/rs14246372
- Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season Z. Lu et al. 10.3389/frsen.2021.766628
1 citations as recorded by crossref.
Latest update: 20 Nov 2024
Short summary
The satellite instrument VIIRS is being used to carry on observations of the Earth made by older satellites like MODIS. Data sets created from these satellite observations depend on the quality of the satellite instruments' calibration. This paper describes a comparison between the calibration of these two sensors. MODIS is believed to be more reliable and so VIIRS is corrected to bring it in line with MODIS. These corrections are shown to improve the quality of VIIRS aerosol data.
The satellite instrument VIIRS is being used to carry on observations of the Earth made by older...
